We conduct extensive evaluation on existing datasets [1]}, [2]} as well as a new dataset that includes more challenging motion and diverse scenes.
When tested on existing datasets without
camera teleportation, the state-of-the-art methods observe a 1-\({2}{dB}\)  drop in masked PSNR and \(\raisebox {0.5ex}{\xbox {char}{\XMLaddatt {name}{tildelow}}}5\%\)  drop in PCK-T.
When tested on complex motion with the proposed dataset, existing approaches observe another 4-\({5}{dB}\)  drop in masked PSNR and \(\raisebox {0.5ex}{\xbox {char}{\XMLaddatt {name}{tildelow}}}30\%\)  drop in PCK-T, suggesting a large room for improvement.
We encourage future works to report EMFs on new data and adopt our experimental protocol to evaluate monocular DVS methods.
Code and data are available at our project page.
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